Aws Certified Data Analytics Study Guide - Specialty (Das-C01) Exam

Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide
 
This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your expertise in designing and implementing AWS services to derive value from data. The AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is designed for business analysts and IT professionals who perform complex Big Data analyses.
 
This AWS Specialty Exam guide gets you ready for certification testing with expert content, real-world knowledge, key exam concepts, and topic reviews. Gain confidence by studying the subject areas and working through the practice questions. Big data concepts covered in the guide include:
* Collection
* Storage
* Processing
* Analysis
* Visualization
* Data security
 
AWS certifications allow professionals to demonstrate skills related to leading Amazon Web Services technology. The AWS Certified Data Analytics Specialty (DAS-C01) Exam specifically evaluates your ability to design and maintain Big Data, leverage tools to automate data analysis, and implement AWS Big Data services according to architectural best practices. An exam study guide can help you feel more prepared about taking an AWS certification test and advancing your professional career. In addition to the guide's content, you'll have access to an online learning environment and test bank that offers practice exams, a glossary, and electronic flashcards.

Table des matières

Introduction xxi
 
Assessment Test xxx
 
Chapter 1 History of Analytics and Big Data 1
 
Evolution of Analytics Architecture Over the Years 3
 
The New World Order 5
 
Analytics Pipeline 6
 
Data Sources 7
 
Collection 8
 
Storage 8
 
Processing and Analysis 9
 
Visualization, Predictive and Prescriptive Analytics 9
 
The Big Data Reference Architecture 10
 
Data Characteristics: Hot, Warm, and Cold 11
 
Collection/Ingest 12
 
Storage 13
 
Process/Analyze 14
 
Consumption 15
 
Data Lakes and Their Relevance in Analytics 16
 
What is a Data Lake? 16
 
Building a Data Lake on AWS 19
 
Step 1: Choosing the Right Storage - Amazon S3
 
Is the Base 19
 
Step 2: Data Ingestion - Moving the Data into
 
the Data Lake 21
 
Step 3: Cleanse, Prep, and Catalog the Data 22
 
Step 4: Secure the Data and Metadata 23
 
Step 5: Make Data Available for Analytics 23
 
Using Lake Formation to Build a Data Lake on AWS 23
 
Exam Objectives 24
 
Objective Map 25
 
Assessment Test 27
 
References 29
 
Chapter 2 Data Collection 31
 
Exam Objectives 32
 
AWS IoT 33
 
Common Use Cases for AWS IoT 35
 
How AWS IoT Works 36
 
Amazon Kinesis 38
 
Amazon Kinesis Introduction 40
 
Amazon Kinesis Data Streams 40
 
Amazon Kinesis Data Analytics 54
 
Amazon Kinesis Video Streams 61
 
AWS Glue 64
 
Glue Data Catalog 66
 
Glue Crawlers 68
 
Authoring ETL Jobs 69
 
Executing ETL Jobs 71
 
Change Data Capture with Glue Bookmarks 71
 
Use Cases for AWS Glue 72
 
Amazon SQS 72
 
Amazon Data Migration Service 74
 
What is AWS DMS Anyway? 74
 
What Does AWS DMS Support? 75
 
AWS Data Pipeline 77
 
Pipeline Definition 77
 
Pipeline Schedules 78
 
Task Runner 79
 
Large-Scale Data Transfer Solutions 81
 
AWS Snowcone 81
 
AWS Snowball 82
 
AWS Snowmobile 85
 
AWS Direct Connect 86
 
Summary 87
 
Review Questions 88
 
References 90
 
Exercises & Workshops 91
 
Chapter 3 Data Storage 93
 
Introduction 94
 
Amazon S3 95
 
Amazon S3 Data Consistency Model 96
 
Data Lake and S3 97
 
Data Replication in Amazon S3 100
 
Server Access Logging in Amazon S3 101
 
Partitioning, Compression, and File Formats on S3 101
 
Amazon S3 Glacier 103
 
Vault 103
 
Archive 104
 
Amazon DynamoDB 104
 
Amazon DynamoDB Data Types 105
 
Amazon DynamoDB Core Concepts 108
 
Read/Write Capacity Mode in DynamoDB 108
 
DynamoDB Auto Scaling and Reserved Capacity 111
 
Read Consistency and Global Tables 111
 
Amazon DynamoDB: Indexing and Partitioning 113
 
Amazon DynamoDB Accelerator 114
 
Amazon DynamoDB Streams 115
 
Amazon DynamoDB Streams - Kinesis Adapter 116
 
Amazon DocumentDB 117
 
Why a Document Database? 117
 
Amazon DocumentDB Overview 119
 
Amazon Document DB Architecture 120
 
Amazon DocumentDB Interfaces 120
 
Graph Databases and Amazon Neptune 121
 
Amazon Neptune Overview 122
 
Amazon Neptune Use Cases 123
 
Storage Gateway 123
 
Hybrid Storage Requirements 123
 
AWS Storage Gateway 125
 
Amazon EFS 127
 
Amazon EFS Us

A propos de l'auteur

ASIF ABBASI has over 20 years of experience working in various Data & Analytics engineering, consulting and advisory roles with some of the largest customers across the globe to help them in their quest to become more data driven. Asif is the author of Learning Apache Spark 2.0 and is an AWS Certified Data Analytics & Machine Learning Specialist, AWS Certified Solutions Architect (Professional), Hortonworks Certified Hadoop Professional and Administrator, Certified Spark Developer, SAS Certified Predictive Modeler, and Sun Certified Enterprise Architect. Asif is also a Project Management Professional.

Résumé

Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide

This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your expertise in designing and implementing AWS services to derive value from data. The AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is designed for business analysts and IT professionals who perform complex Big Data analyses.

This AWS Specialty Exam guide gets you ready for certification testing with expert content, real-world knowledge, key exam concepts, and topic reviews. Gain confidence by studying the subject areas and working through the practice questions. Big data concepts covered in the guide include:
* Collection
* Storage
* Processing
* Analysis
* Visualization
* Data security

AWS certifications allow professionals to demonstrate skills related to leading Amazon Web Services technology. The AWS Certified Data Analytics Specialty (DAS-C01) Exam specifically evaluates your ability to design and maintain Big Data, leverage tools to automate data analysis, and implement AWS Big Data services according to architectural best practices. An exam study guide can help you feel more prepared about taking an AWS certification test and advancing your professional career. In addition to the guide's content, you'll have access to an online learning environment and test bank that offers practice exams, a glossary, and electronic flashcards.

Détails du produit

• Auteurs: Abbasi, Asif Abbasi, Abbasi Asif
• Edition: Wiley, John and Sons Ltd
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 30.04.2020
• EAN: 9781119649472
• ISBN: 978-1-119-64947-2
• Pages: 416
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Communication des données, réseaux; Informatik, Datenanalyse, Prüfungsvorbereitung, Zertifizierung, COMPUTERS / Certification Guides / General, Computers - Certification, computer science, test prep, Zertifizierung f. MSCE u. Novell, Certification (MSCE, Novell, etc.), Grid & Cloud Computing, Grid- u. Cloud-Computing